Monte Carlo probabilities of cluster formation by image noise

Jerry J. Sychra, Michael J. Blend, Noam Alperin, Steven U. Brint

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

When voxel values of a small tumor or of a brain activation are very low it is difficult to distinguish them from the random image noise. A tumor or an activation is usually represented by a cluster of voxels. Consequently, when the probability of an observed cluster being formed by noise is negligible, the cluster can be interpreted as a result of a deterministic process. The probability of a cluster generated by random noise is associated with the spatial autocorrelation of the noise. Assuming that the image noise is a Gaussian random field, we have used Monte Carlo approach to calculate cluster probabilities for selected autocorrelation values. The obtained results can be used by the reader to detect tumors or activations in actual images.

Original languageEnglish
Title of host publicationWorld Wide Web Journal of Biology
Pages34-45
Number of pages12
Volume4
StatePublished - Dec 1 1999
Externally publishedYes

Keywords

  • Brain mapping
  • Image noise
  • Monte Carlo analysis
  • Voxels

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

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